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Kevin Kimaryo
Kevin Kimaryo
kevin.kimaryo@homepal.se
Jonatan Jönsson
Jonatan Jönsson

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Identifying Safety Measures

We want to explore how AI can become a tool for improving safety in your properties – and how the insights can be used in practice. The test group will evaluate how well AI can classify cases as safety-related, based on the tenant’s own perspective when submitting a request.

Tid

3 nov 20251 feb 2026

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Digitally

Work email
First and last name

This AI project is co-funded by the EU – via the European Regional Development Fund (ERDF) and the Just Transition Fund.

What we want to solve

A classification of cases that – from the tenant’s perspective – indicates whether the case makes them feel less safe and secure.

This is not about objective safety or technical risks, but about factors that affect the feeling of safety in the living environment.

Example safety categories:

  • Break-in

  • Lighting

  • Graffiti

  • Disturbance

  • Vandalism

  • Unauthorized access

This makes it possible to work proactively with measures that strengthen safety in the areas where the need is greatest.

What value does it create?

By gaining insight into which problems affect tenants’ perceived safety, the right measures can be implemented quickly and effectively.

Example:
”We saw that several cases related to broken lighting and vandalism were connected to the same stairwell – so we prioritized measures there.”

What happens if we don’t do this?

  • Shorter tenancy periods

  • Lower tenant satisfaction (NPS/NKI)

  • A brand associated with insecurity

For whom?

This test is aimed at those who:

  • Make decisions about safety measures (e.g., property managers, asset managers, area managers).

  • Work operationally with safety issues (e.g., caretakers, maintenance staff, customer service).

  • Monitor NPS, safety indexes, or tenants’ perceptions of their living environment.

The test group’s mission

The beta program runs for about 12 weeks and is carried out together with a small group of selected real estate companies. The goal is to understand how the categorization works in practice and what value it can create in decision-making.

Registration, Form, and Selection (Weeks 42–44)

Fill in your name and email address above, and we’ll contact you with a short form to understand why this information matters to you. During this period, you’ll also manually classify 100 of your own cases. These will later be used to compare with the automated classification in Homepal.

Meeting 1: Precision and Classification (Weeks 45–46)

In the first meeting, we focus on how accurately the AI classifies your cases. Together we review the results and discuss:

  • Do the classifications match reality?

  • Is anything important missing, or does something feel unnecessary?

  • What kinds of decisions or insights could this help you make in everyday work?

We compare the automated classification with your manual assessments and talk about what works well and what might need adjustment. You’ll also see how Homepal categorizes your cases — and have the chance to influence how this should look going forward.

Further Development Based on Feedback (Weeks 47–48)

Homepal improves the classification based on what we learned in the first meeting. If needed, we’ll add new categories, remove unnecessary ones, or fine-tune the logic to make the results even more relevant.

Meeting 2: Using the Classification (Weeks 49–50)

Now we shift focus from testing to real use.
You’ll gain access to a dashboard showing your classified cases, where you can start analyzing:

  • Which types of cases dominate.

  • Where issues occur most frequently.

  • How the insights can support prioritization and planning of actions.

We also collect feedback — does this help you make faster and better decisions? After the meeting, we’ll make small adjustments to ensure everything works smoothly.

Beta in Use (Weeks 51–4)

During this period, you’ll use the dashboards and analyses in your daily work. Homepal follows up together with you, collects feedback, and makes small improvements along the way.

Evaluation and Closing (Week 5)

We end with a joint session focused on the most important question — what real value the AI classification has created in practice. The goal is to understand how Homepal’s solution needs to evolve to deliver even greater impact in real-world use, and to identify whether there are areas where the current setup doesn’t yet provide sufficient value.

Why participate?

As a participant in the test group you will:

  • Get a unique opportunity to influence the continued development of the solution.

  • Gain early insight into how tenants in your portfolio perceive safety.

  • Take part in concrete discussions about how data can be used to strengthen safety and make better decisions.

  • Directly influence which features and priorities will be developed next.

Participation requirements

The test group will have a limited number of participants. To join, you need to:

  • Submit your role and a short motivation explaining why this information is relevant to you.

  • Describe which decision(s) you hope to make based on the material.

  • Commit to attending all three sessions and set aside time between workshops to review the sample cases.


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